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http://dx.doi.org/10.5369/JSST.2010.19.2.118

Super-resolution image enhancement by Papoulis-Gerchbergmethod improvement  

Jang, Hyo-Sik (School of Electrical Engineering and Computer Science, Kyungpook National University)
Kim, Duk-Gyoo (School of Electrical Engineering and Computer Science, Kyungpook National University)
Jung, Yoon-Soo (Electronics and Telecommunications Research Institute)
Lee, Tae-Gyoun (School of Electrical Engineering and Computer Science, Kyungpook National University)
Won, Chul-Ho (School of Control & Electrical Engrineering, Kyungil University)
Publication Information
Journal of Sensor Science and Technology / v.19, no.2, 2010 , pp. 118-123 More about this Journal
Abstract
This paper proposes super-resolution reconstruction algorithm for image enhancement. Super-resolution reconstruction algorithms reconstruct a high-resolution image from multi-frame low-resolution images of a scene. Conventional super- resolution reconstruction algorithms are iterative back-projection(IBP), robust super-resolution(RS)method and standard Papoulis-Gerchberg(PG)method. However, traditional methods have some problems such as rotation and ringing. So, this paper proposes modified algorithm to improve the problem. Experimental results show that this proposed algorithm solve the problem. As a result, the proposed method showed an increase in the PSNR for traditional super-resolution reconstruction algorithms.
Keywords
super-resolution reconstruction; iterative back-projection; robust super-resolution; Papoulis-Gerchberg;
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1 D. Keren, S. Peleg, and R. Brada, "Image sequence enhancement using sub-pixel displacement", in Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR '88), pp.742-746, Ann Arbor, Mich, USA, June 1988.
2 M. Irani and S. Peleg, "Improving resolution by image registration", CVGIP : Graphical Models and Image Processing, vol. 53, no. 3, pp. 231-239, 1991.   DOI
3 A. Zomet, A. Rav-Acha, and S. Peleg, "Robust super-resolution", in Proceedings of IEEE Computer Society Conference on Compter Vision and Pattern Recognition (CVPR '01), vol. 1, pp. 645-650, Kauai, Hawaii, USA, December 2001.
4 Deepesh Jain, "Superresolution using Papoulis-Gerchberg Algorithm", EE392J - Digital Video Processing. Stanford University, Stanford, CA, jaindee@ stanford.edu
5 http://lcavwww.epfl.ch/reproducible_research/Vand- welleSV05/.
6 S. M. Park, M. K. Park, and M. G. Kang, "Super-resolution image construction : A technical overview", IEEE signal processing magazine 2003.